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This paper elaborates on the rudimentary design of an autonomous blimp focusing solely on the various navigation algorithms used and applied by the system to navigate through a vast, GPS-denied area as well as some complex ones accurately. Shows using Monocular Visual-Inertial SLAM accurately for the self-localization purposes and combined that with some welldesigned path planning algorithms so to navigate. Makes sure of applying advanced stabilization and dynamic obstacle avoiding techniques. Real-time AQI mapping, precision agriculture through pollutant sensors, and multispectral imaging represent the key applications of this device. This study further proves that blimps, especially autonomous blimps, can be scalable in being an environment-friendly platform to be used in environmental and agricultural monitoring at cost-effectiveness.
Chaitanya et al. (Thu,) studied this question.
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